Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data

Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data

Aircraft envelope expansion during the installation of new underwing stores presents significant challenges, particularly due to the aeroelastic flutter phenomenon. Accurate modeling of aeroelastic behavior often necessitates flight testing, which poses risks due to the potential catastrophic conseq...

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Bibliographic Details
Main Authors: Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Aerospace
Subjects:
aeroelastic flutter
flight testing
deep learning
convolutional neural network
deep neural network
multi-layer perceptron
Online Access:https://www.mdpi.com/2226-4310/12/1/34
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